Senior Associate - Data Scientist (IND)

Bread Financial Group; Bengaluru; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Bread Financial Group in Bengaluru, India seeks a Senior Associate - Data Scientist to apply predictive modeling, ML, and data mining in a big data context.

Under supervision, you will deliver models and insights across product types and channels, ensure timely implementation, quantify business impact, and communicate results to stakeholders.

The role emphasizes model risk management, governance documentation, and collaboration with fellow data scientists to share best practices.

Qualifications

• Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field
• 2-3 years of related work experience
• Master's Degree or PhD in Statistics, Mathematics, Engineering, Data Science, Economics, or CS preferred
• Hands-on experience in developing statistical models/machine learning models and data mining to solve business problems
• Experience in extracting and processing large files/data sets; interpreting model results and translating insights into business recommendations

Responsibilities

• Advanced Analytics: under supervision, data extraction, cleaning, EDA, feature engineering, model building/tuning, validation, and presenting business impact (40%).
• Collaboration & Communication: translate results into recommendations; communicate with internal partners; develop domain knowledge in credit card operations, banking, loyalty, retail, and regulations (30%).
• Data Science innovation: research new tools/algorithms/platforms; test use cases and provide feedback (20%).
• Model Risk Management: understand model risks and regulatory needs; maintain governance docs and assist with validation/audits (10%).

Skills

Spark SQL

Python

SAS/STAT

SQL

Machine Learning

Data Science

AWS

Data Analytics

Education

Bachelor's Degree in Statistics/Mathematics/Engineering/Data Science/Economics/Computer Science

Master's Degree in Statistics/Mathematics/Engineering/Data Science/Economics/CS

PhD in Statistics/Data Science/Engineering/Math/CS

Job description

Job Summary

• Under supervision and guidance, the Senior Associate - Data Scientist applies data science in advanced analytics such as predictive modeling, machine learning and data mining in a big data environment in order to deliver predictive models and insights. The Data Scientist, 2 produces insights that encompass the different product types and channels and maintain regulatory standards. The Data Scientist, 2 assists with ensuring accurate and timely implementation of solutions, quantifying the overall financial impact to the business, and communicating results.

Essential Job Functions

• Advanced Analytics Under supervision, extracts/samples data, checks integrity, handles missing/outlier values, conducts EDA, applies clustering/factor analysis, engineers features, builds/tunes models (GLMs, trees, neural nets), validates and fixes issues (e.g., overfitting), estimates business impact, presents findings to manager, and supports implementation. - (40%)
• Collaboration & Communication Under supervision, translates analytical results into recommendations for manager review. Demonstrates strong verbal and written communication with internal partners and when presenting findings. Builds foundational knowledge of credit card operations, banking, finance, loyalty, retail, and regulations. Collaborates with data scientists to share best practices. - (30%)
• Data Science innovation with direction from manager, researches industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency. Conducts use case testing for new tools/techniques/platforms/data and provides user input/feedback. - (20%)
• Model Risk Management - Builds knowledge of model risks and regulatory needs; applies 1st line of defense controls to reduce risk in development; prepares governance documentation and archives data, scripts, and results; works with risk partners for validation/audits; completes remediation as required by governance process. - (10%)

Minimum Qualifications

• Bachelors Degree in Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field
• 2-3 years of related work experience

Preferred Qualifications

• Masters Degree Phd in Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field Professional hands-on experience in developing statistical models/machine learning models and conducting data mining to solve business problems.
• Experience in extracting and processing large files/data sets. Experience interpreting model results and translating insights into business recommendations.

Skills

• Spark SQL
• Python (Programming Language)
• SAS/STAT
• Structured Query Language (SQL)
• Machine Learning (ML)
• Data Science
• Amazon Web Services (AWS)
• Data Analytics